hex.schemas

Class DRFV3.DRFParametersV3

java.lang.Object

water.Iced

water.api.Schema<I,S>

water.api.schemas3.SchemaV3<P,S>

water.api.schemas3.ModelParametersSchemaV3<P,S>

hex.schemas.SharedTreeV3.SharedTreeParametersV3<DRFModel.DRFParameters,DRFV3.DRFParametersV3>

hex.schemas.DRFV3.DRFParametersV3

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

Enclosing class:

DRFV3

public static final class DRFV3.DRFParametersV3
extends SharedTreeV3.SharedTreeParametersV3<DRFModel.DRFParameters,DRFV3.DRFParametersV3>

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class water.api.schemas3.SchemaV3

water.api.schemas3.SchemaV3.Meta

Nested classes/interfaces inherited from class water.api.Schema

water.api.Schema.AutoParseable

Field Summary

Fields

Modifier and Type	Field and Description
boolean	binomial_double_trees
static java.lang.String[]	fields
int	mtries
double	sample_rate

Fields inherited from class hex.schemas.SharedTreeV3.SharedTreeParametersV3

balance_classes, build_tree_one_node, calibrate_model, calibration_frame, calibration_method, check_constant_response, class_sampling_factors, col_sample_rate_change_per_level, col_sample_rate_per_tree, histogram_type, in_training_checkpoints_dir, in_training_checkpoints_tree_interval, max_after_balance_size, max_confusion_matrix_size, max_depth, min_rows, min_split_improvement, nbins, nbins_cats, nbins_top_level, ntrees, r2_stopping, sample_rate_per_class, score_tree_interval, seed

Fields inherited from class water.api.schemas3.ModelParametersSchemaV3

auc_type, categorical_encoding, checkpoint, custom_distribution_func, custom_metric_func, distribution, export_checkpoints_dir, fold_assignment, fold_column, gainslift_bins, huber_alpha, ignore_const_cols, ignored_columns, keep_cross_validation_fold_assignment, keep_cross_validation_models, keep_cross_validation_predictions, max_categorical_levels, max_runtime_secs, model_id, nfolds, offset_column, parallelize_cross_validation, quantile_alpha, response_column, score_each_iteration, stopping_metric, stopping_rounds, stopping_tolerance, training_frame, tweedie_power, validation_frame, weights_column

Fields inherited from class water.api.schemas3.SchemaV3

__meta

Constructor Summary

Constructors

Constructor and Description
DRFParametersV3()

Method Summary

Methods inherited from class water.api.schemas3.ModelParametersSchemaV3

append_field_arrays, extractDeclaredApiParameters, fields, fillFromImpl, fillImpl, getAdditionalParameters, writeParametersJSON

Methods inherited from class water.api.schemas3.SchemaV3

writeJSON

Methods inherited from class water.api.Schema

createAndFillImpl, createImpl, extractVersionFromSchemaName, fillFromAny, fillFromBody, fillFromImpl, fillFromImpl, fillFromParms, fillFromParms, fillFromParms, fillImpl, getImplClass, getImplClass, getSchemaName, getSchemaType, getSchemaVersion, init_meta, markdown, markdown, newInstance, newInstance, setField, setSchemaType_doNotCall

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

fields

public static java.lang.String[] fields

mtries

@API(help="Number of variables randomly sampled as candidates at each split. If set to -1, defaults to sqrt{p} for classification and p/3 for regression (where p is the # of predictors",
     gridable=true)
public int mtries

binomial_double_trees

@API(help="For binary classification: Build 2x as many trees (one per class) - can lead to higher accuracy.",
     level=expert)
public boolean binomial_double_trees

sample_rate

@API(help="Row sample rate per tree (from 0.0 to 1.0)",
     gridable=true)
public double sample_rate

Constructor Detail

DRFParametersV3

public DRFParametersV3()